Staff Network Engineer (AI Fabric, Datacenter and Edge Networking) - Radian Arc

Accountabilities

• • AI fabric architecture: Design, deploy, and operate high-performance GPU networking fabrics for distributed AI workloads, including RoCE, RDMA, Spectrum-X, leaf-spine, fat-tree, rail, and multi-plane architectures.
  • AI performance optimization: Analyze GPU communication patterns and optimize east-west traffic, congestion control, latency, throughput, and reliability for distributed training and inference workloads.
  • Datacenter networking: Own Layer 2/3 architecture using BGP, ECMP, EVPN/VXLAN, VLAN/VRF, OVS/OVN, Linux networking, bridges, overlays, and scalable routing patterns.
  • Security and edge connectivity: Design and operate north-south connectivity, WAF and application-layer protections, TLS termination, DDoS mitigation, and gateway infrastructure.
  • Inter-datacenter networking: Design private connectivity, dark-fiber and metro-fiber rings, high-capacity WAN links, DWDM transport, inter-site BGP routing, redundancy, and failure-domain isolation.
  • End-to-end delivery: Lead infrastructure initiatives from architecture and lab validation through BOM validation, datacenter layouts, deployment, acceptance, and production rollout.
  • Operational excellence: Establish automation for provisioning, configuration management, monitoring, lifecycle management, validation, and day-2 operations while improving reliability and recovery practices.
  • Incident leadership: Act as the senior escalation point for complex network incidents, leading investigation, root-cause analysis, remediation, and long-term architectural improvements.
  • Performance and reliability: Define and monitor SLAs, SLOs, latency, reliability, capacity, and operational metrics, translating findings into concrete engineering improvements.
  • Cross-functional leadership: Partner with infrastructure, platform, SRE, compute, storage, observability, and datacenter teams while setting networking standards and influencing long-term architecture.
  • Technical leadership: Serve as the primary networking design authority, mentor engineers in adjacent domains, and establish reusable patterns that can scale with the organization.
  • Automation and leverage: Build Python and/or Bash tooling, validation frameworks, and operational systems that reduce manual work and increase consistency across deployments.

  Requirements

  • Network engineering experience: Strong hands-on experience designing and operating large-scale datacenter networks in production, with expert knowledge of BGP, OSPF, ECMP, and EVPN/VXLAN.
  • AI networking expertise: Deep experience designing and operating high-performance GPU networking fabrics for distributed AI workloads, including practical RoCE/RDMA expertise.
  • GPU communication knowledge: Strong understanding of NCCL communication patterns—including all-reduce, all-gather, broadcast, and reduce-scatter—and their implications for network topology and performance.
  • RoCE optimization: Experience tuning large-scale RoCE fabrics, including PFC and ECN congestion management, and diagnosing NCCL stalls, RDMA congestion, fabric hotspots, and packet-loss issues.
  • Production infrastructure: Proven experience with high-speed Ethernet and NVIDIA/Mellanox networking platforms, as well as high-performance interconnects, optics, and networking hardware.
  • Systems troubleshooting: Ability to investigate complex cross-layer problems spanning hardware, firmware, Linux/kernel networking, and distributed application communication.
  • Automation: Strong Python and/or Bash skills, with experience applying software engineering practices to infrastructure automation and building reusable operational tooling.
  • Observability: Experience designing network observability and independently analyzing operational data, ideally using tools such as PostHog or equivalent systems.
  • Architecture and execution: Demonstrated ability to own both long-term architecture and hands-on implementation in lean or rapidly scaling environments.
  • Technical leadership: Proven ability to lead complex initiatives, establish engineering standards, influence multiple teams without formal authority, and balance performance, reliability, scalability, operability, and cost.
  • Communication: Strong stakeholder management and communication skills, with the ability to explain architectural decisions, trade-offs, and technical risks clearly.
  • Mentoring: Ability to raise the technical bar of adjacent engineering teams and contribute to the development of a future networking organization.
  • Languages: Professional working proficiency in English; the ability to collaborate effectively across international teams is essential.

  Benefits

  • Attractive compensation package aligned with your expertise, experience, and market conditions.
  • Full-time employment or contract engagement, depending on the arrangement.
  • 100% remote work within Europe.
  • Flexible and international working environment built around autonomy, collaboration, and trust.
  • Opportunity to join a fast-growing scale-up operating at the intersection of AI, cloud infrastructure, GPU computing, and telecommunications.
  • Significant technical ownership as the first dedicated networking specialist, with the opportunity to shape architecture and engineering standards from the ground up.
  • Broad exposure to cutting-edge AI fabrics, high-speed Ethernet, RoCE/RDMA, GPU infrastructure, optical networking, and edge computing.
  • Career growth opportunities within a rapidly expanding organization.
  • Inclusive, diverse, and international work environment.
  • Role designed for high technical impact, combining Staff-level architectural ownership with hands-on engineering.